气候变化领域集成服务门户(CCPortal): Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data

CCPortal

DOI	10.14358/PERS.83.7.509
	Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data
	Zhang, Guoqing; Zheng, Guoxiong; Gao, Yang; Xiang, Yang; Lei, Yanbin; Li, Junli
通讯作者	Zhang, GQ (通讯作者)
发表日期	2017
ISSN	0099-1112
EISSN	2374-8079
起始页码	509
结束页码	519
卷号	83 期号:7
英文摘要	The unique climate and topography of the Tibetan Plateau produce an abundant distribution of lakes. These lakes are important indicators of climate change, and changes in lake area have critical implications for water resources and ecological conditions. Lake area change can be monitored using the huge sets of high-resolution remote sensing data available, but this demands an automatic water classification system. This study develops an algorithm for automatic water classification using Chinese GF-1 (or Gaofen-1) wide-field-of-view (WFV) satellite data. The original GF-1 WFV data were automatically preprocessed with radiometric correction and orthorectification. The single-band threshold and two global-local segmentation methods were employed to distinguish water from non-water features. Three methods of determining the optimal thresholds for normalized difference water index (NDWI) images were compared: Iterative Self Organizing Data Analysis Technique (ISODATA); global-local segmentation with thresholds specified by stepwise iteration; and the Otsu method. The water classification from two steps of globallocal segmentations showed better performance than the single-band threshold and ISODATA methods. The GF-1 WFVbased lake mapping across the entire Tibetan Plateau in 2015 using the global-local segmentations with thresholds from the Otsu method showed high quality and efficiency in automatic water classification. This method can be extended to other satellite datasets, and makes the high-resolution global monitoring and mapping of lakes possible.
关键词	INDEX NDWI LAKES DELINEATION IMPROVEMENT TM
语种	英语
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000411210500007
来源期刊	PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258892
推荐引用方式 GB/T 7714	Zhang, Guoqing,Zheng, Guoxiong,Gao, Yang,et al. Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data[J]. 中国科学院青藏高原研究所,2017,83(7).
APA	Zhang, Guoqing,Zheng, Guoxiong,Gao, Yang,Xiang, Yang,Lei, Yanbin,&Li, Junli.(2017).Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data.PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING,83(7).
MLA	Zhang, Guoqing,et al."Automated Water Classification in the Tibetan Plateau Using Chinese GF-1 WFV Data".PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 83.7(2017).